KAIST

Researchers at KAIST and Naver AI Lab found that eight distinct reasoning operations—like formula recall, decomposition, and computation—produce separable patterns in a model's internal activations, with the clearest signal in the middle layers. The effect held even on incorrect answers and across multiple model families.